Parties d'ouvrages collectifs (1)
  1. 1. Pucci, F., & Rooman, M. (2016). A little walk from physical to biological complexity: protein folding and stability. In About various kinds of interactions: published in honor of Philippe Spindel’s 65th birthday. UMons University Press: edited by N. Boulanger and S. Detournay.
    2.   Articles dans des revues avec comité de lecture (49)
  2. 1. Hou, Q., Rooman, M., & Pucci, F. (2023). Enzyme Stability-Activity Trade-Off: New Insights from Protein Stability Weaknesses and Evolutionary Conservation. Journal of chemical theory and computation, 19(12), 3664-3671. doi:10.1021/acs.jctc.3c00036
  3. 2. Rooman, M., & Pucci, F. (2023). Estimating the Vertical Ionization Potential of Single-Stranded DNA Molecules. Journal of chemical information and modeling, 63(6), 1766-1775. doi:10.1021/acs.jcim.2c01525
  4. 3. Cia Beriain, G., Pucci, F., & Rooman, M. (2023). Critical review of conformational B-cell epitope prediction methods. Briefings in bioinformatics, 24(1). doi:10.1093/bib/bbac567
  5. 4. Cia Beriain, G., Kwasigroch, J.-M., Rooman, M., & Pucci, F. (2022). SpikePro: a webserver to predict the fitness of SARS-CoV-2 variants. Bioinformatics, 38(18), 4418-4419. doi:10.1093/bioinformatics/btac517
  6. 5. Coutelier, M., Jacoupy, M., Janer, A., Renaud, F., Auger, N., Saripella, G.-V., Ancien, F., Pucci, F., Rooman, M., Gilis, D., Larivière, R., Sgarioto, N., Valter, R., Guillot-Noel, L., Le Ber, I., Sayah, S., Charles, P., Nümann, A., Pauly, M. G., Helmchen, C., Deininger, N., Haack, T., Brais, B., Brice, A., Trégouët, D.-A., El Hachimi, K., Shoubridge, E., Durr, A., & Stevanin, G. (2022). NPTX1 mutations trigger endoplasmic reticulum stress and cause autosomal dominant cerebellar ataxia. Brain, 145(4), 1519-1534. doi:10.1093/brain/awab407
  7. 6. Cia Beriain, G., Pucci, F., & Rooman, M. (2022). Analysis of the Neutralizing Activity of Antibodies Targeting Open or Closed SARS-CoV-2 Spike Protein Conformations. International journal of molecular sciences, 23(4). doi:10.3390/ijms23042078
  8. 7. Ancien, F., Pucci, F., Vranken, W. F., & Rooman, M. (2022). MutaFrame—an interpretative visualization framework for deleteriousness prediction of missense variants in the human exome. Bioinformatics, 38(1), 265-266. doi:10.1093/bioinformatics/btab453
  9. 8. Hou, Q., Pucci, F., Pan, F., Xue, F., Rooman, M., & Feng, Q. (2022). Using metagenomic data to boost protein structure prediction and discovery. Computational and Structural Biotechnology Journal, 20, 434-442. doi:10.1016/j.csbj.2021.12.030
  10. 9. Pucci, F., Schwersensky, M., & Rooman, M. (2022). Artificial intelligence challenges for predicting the impact of mutations on protein stability. Current opinion in structural biology, 72, 161-168. doi:10.1016/j.sbi.2021.11.001
  11. 10. Basu, S. C., Assaf, S., Teheux, F., Rooman, M., & Pucci, F. (2021). BRANEart: Identify Stability Strength and Weakness Regions in Membrane Proteins. Frontiers in bioinformatics, 1, 742843. doi:10.3389/fbinf.2021.742843
  12. 11. Zerihun, M., Pucci, F., & Schug, A. (2021). CoCoNet-boosting RNA contact prediction by convolutional neural networks. Nucleic acids research, 49(22), 12661-12672. doi:10.1093/nar/gkab1144
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